Data Management Architect
Listed on 2026-11-04
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IT/Tech
Data Engineering, Information & Knowledge Management
We are looking for a Data Management Architect to join our growing team in Miami, FL United States!
The Data Management Architect will support enterprise data management, ensuring data integrity, quality, governance & security using AIDP platform. The role requires strong hands-on expertise in Informatica IDMC/IICS and Oracle Exadata technologies, with a focus on data validation, data governance, virtualization, and privacy. The candidate will collaborate with business stakeholders, engineering, testing and security teams to deliver reliable data management solutions.
Delphix experience is advantageous but can be acquired on the job.
Key Responsibilities:
- Perform end-to-end data management, including source-to-target lineage, data completeness, integrity, and transformation accuracy.
- Leverage Informatica IDMC/IICS for ETL, data integration, metadata management, cataloguing, and data lineage activities.
- Support data virtualization and federation across heterogeneous data sources, considering performance, consistency, and security.
- Work with Oracle Database, EXACC, and EXACS platforms to support migration, validation, and troubleshooting activities.
- Support Delphix-based data virtualization and masking workflows as required.
- Implement and validate data masking strategies to protect sensitive information and PII across enterprise environments.
- Develop SQL-based validation routines, investigate data discrepancies, and report data quality, risks, and exceptions to stakeholders.
Must Have
Skills:
- 10+ years experience.
- Informatica IDMC/IICS:
Strong practical experience with data integration and relevant data governance capabilities. - Oracle Exadata & Database Technologies:
Proven experience with Oracle Exadata Cloud at Customer (EXACC), Oracle AI Data Platform, Exadata Cloud Service (EXACS). - Data Governance & Cataloguing:
Understanding of metadata management, data lineage, data discovery, and data quality practices. - Data Virtualization & Federation:
Knowledge of federated data access and virtualization across heterogeneous data sources. - Communication & Stakeholder Management:
Good communication and interpersonal skills, with the confidence to articulate technical concepts, discuss issues, and collaborate effectively with stakeholders.
Nice to Have
Skills:
- Data Privacy & Masking:
Understanding of PII protection, data masking techniques, and secure data handling. - Delphix:
Experience with data virtualization , provisioning, refresh, candidates can learn the tool on the job. - Cloud Platform Exposure:
Familiarity with cloud platforms such as Microsoft Azure or AWS. Having exposure to Snowflake would be an added bonus. - AI Awareness:
Exposure to AI technologies and their potential applications in data management. - Hospitality domain - Loyalty, Reward programs.
Benefits:
Why QualityAI?
QualityAI is an AI-first quality engineering company helping enterprises deploy and scale complex systems with greater confidence. Operating across data, models, platforms, infrastructure, and operational environments, the company provides assurance and engineering expertise that helps organizations ensure systems perform reliably in real-world conditions.
Formerly Qualitest, QualityAI supports global enterprises across regulated and technology-driven industries, combining deep engineering heritage with AI-enabled delivery, operational assurance, and lifecycle expertise to help clients achieve certainty at go-live.
- Be a part of a company who strives to support for diversity and inclusion in the workplace - we are one, we are many ebrate culture, share knowledge with engineers from around the globe, and inspire each other through our differences.
- Local and global opportunities - we offer you internal rotation and…
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